{"id":"W6901759139","doi":"10.60692/v137z-fn047","title":"Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GHGSat (Canada)","funders":"","keywords":"Methane; Methane emissions; Atmospheric methane; Inversion (geology); Troposphere; Satellite; Emission intensity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002453547,0.0002787465,0.0001361664,0.0004959255,0.0002111462,0.0002425011,0.0003154044,0.0001986803,0.0004528107],"category_scores_gemma":[0.0004549673,0.0001256426,0.000260652,0.0007006988,0.0001281767,0.0003640712,0.0002264609,0.0002557157,0.0001008618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945216,"about_ca_system_score_gemma":0.0004049234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02625186,"about_ca_topic_score_gemma":0.05695917,"domain_scores_codex":[0.9999124,0.00001406574,0.000004089682,0.00002680482,0.00002786237,0.00001478525],"domain_scores_gemma":[0.9998659,0.00002085035,0.00003636237,0.00001834892,0.00004200542,0.00001652513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004399956,0.0002161959,0.84202,0.00007876216,0.0003329595,0.0002642501,0.0003009561,0.03679918,0.06348868,0.0003272231,0.001384123,0.05434767],"study_design_scores_gemma":[0.00003336335,0.00007160284,0.8368652,0.00001447639,0.00006688775,0.00008696967,0.0001682469,0.1465815,0.01349748,0.0001781693,0.002402589,0.00003355846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958032,0.00004453829,0.001862181,0.00003822342,0.000008452555,0.000007707877,0.001181013,0.00008764127,0.0009671358],"genre_scores_gemma":[0.9954466,0.00002748656,0.002931625,0.00001019919,0.000007387669,0.00001028903,0.001387305,0.00001151606,0.0001675462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02625186,"threshold_uncertainty_score":0.05219811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044065502218903,"score_gpt":0.1859531017271498,"score_spread":0.1655124467049608,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}